Repository for Gravity Field Modeling and Recovery using Machine Learning Methods
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Updated
Apr 14, 2025 - Python
Repository for Gravity Field Modeling and Recovery using Machine Learning Methods
Streamline transportation planning with the Gravity Model's Python implementation. This repository offers a comprehensive README, user-friendly Python script, and practical examples, making it straightforward for users to implement and adapt the model to their specific urban planning scenarios.
A QGIS plugin for spatial analysis
Stochastic model of invasive zebra/quagga mussel spread as facilitated by boat traffic, built for QGIS
Automated trade data pipeline for analyzing the impact of Free Trade Agreements (FTAs) and tariffs on U.S. agricultural exports. Integrates global datasets from USDA, WTO, World Bank, and IMF.
simulation_check.py
Masters Final Year Project - Analysing Transaction Flow in Kiva.org- UCL 2017/18
Gravlaw-model is a data visualization project for the econophysic's concept of Gravity law used for modeling inter-cities traffic.
A Python-based automation tool to download and merge trade and macroeconomic data from UN Comtrade and the World Bank.
Airline route-evaluation engine on open government data: gravity demand + QSI-lite share + route economics turned into LAUNCH/MONITOR/PASS verdicts, validated end-to-end. Live Streamlit demo.
Thesis and replication pipeline using realized US customs data to test whether the 2025 Liberation Day tariffs lowered trade or mainly shifted imports from China toward other foreign suppliers.
Repository for gravity field modeling with a hybrid method that combine Spherical Harmonic (SH) basis functions with SIREN networks.
Agent-Based Market Simulator modeling the Mall of Zimbabwe's launch impact (2026-2029) using Geospatial & Financial forecasting.
Comparative analysis of Structural Gravity Estimators (PPML vs. Polyads) on sparse international trade data (CEPII BACI). A replication and benchmarking project based on Resende, Lecué et al. (2026).
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